• Investigating the Use of Autoencoders for Gait-based Person Recognition 

      Cheheb I.; Al-Maadeed N.; Al-Madeed S.; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      In recent years, gait has been growing as a biometric for person recognition at a distance. However, factors such as view angles and carrying conditions often make this task challenging. This paper proposes a solution to ...
    • KERTAS: dataset for automatic dating of ancient Arabic manuscripts 

      AdamK.; BaigA.; Al-MaadeedS.; BouridaneA.; El-MenshawyS. ( Springer Verlag , 2018 , Article)
      The age of a historical manuscript can be an invaluable source of information for paleographers and historians. The process of automatic manuscript age detection has inherent complexities, which are compounded by the lack ...
    • Letter-based classification of Arabic scripts style in ancient Arabic manuscripts 

      Adam K.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Classifying ancient Arabic manuscripts based on handwriting styles is one of the important roles in the field of paleography. Recognizing the style of handwriting in Arabic manuscripts helps in identifying the origin and ...
    • Novel geometric features for off-line writer identification 

      Al-Maadeed, S.; Hassaine, A.; Bouridane, A.; Tahir, M.A. ( Springer Verlag , 2014 , Article)
      Writer identification is an important field in forensic document examination. Typically, a writer identification system consists of two main steps: feature extraction and matching and the performance depends significantly ...
    • Off-line writer identification using an ensemble of grapheme codebook features 

      Khalifa, E.; Al-Maadeed, S.; Tahir, M.A.; Bouridane, A.; Jamshed, A. ( Elsevier , 2015 , Article)
      Off-line writer identification is the process of matching a handwritten sample with its author. Manual identification is very time-consuming because it requires a meticulous comparison of character shape details. Consequently ...
    • Off-line writer identification using multi-scale local binary patterns and SR-KDA 

      Khalifa E.; Al-Maadeed, Somaya; Tahir M.A.; Khelifi F.; Bouridane A. ( IEEE , 2013 , Conference Paper)
      Writer identification is becoming an increasingly important research topic especially in forensic and biometric applications. This paper presents a novel method for performing offline write identification by using multi-scale ...
    • On the use of time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals 

      Boubchir L.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      This paper proposes new time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals. These features are obtained by translating and combining the most relevant time-domain ...
    • Palmprint identification using sparse and dense hybrid representation 

      Maadeed S.A.; Jiang X.; Rida I.; Bouridane A. ( Springer New York LLC , 2019 , Article)
      Among various palmprint identification methods proposed in the literature, Sparse Representation for Classification (SRC) is very attractive, offering high accuracy. Although SRC has good discriminative ability, its ...
    • Partial shoeprint retrieval using multiple point-of-interest detectors and SIFT descriptors 

      Al-Maadeed, Somaya; Bouridane A.; Crookes D.; Nibouche O. ( IOS Press , 2015 , Article)
      Shoeprint evidence collected from crime scenes can play an important role in forensic investigations. Usually, the analysis of shoeprints is carried out manually and is based on human expertise and knowledge. As well as ...
    • Robust feature point detectors for car make recognition 

      Al-Maadeed S.; Boubezari R.; Kunhoth S.; Bouridane A. ( Elsevier B.V. , 2018 , Article)
      An Automatic Vehicle Make and Model Recognition (AVMMR) system can be a useful add-on tool to Automatic Number Plate Recognition (ANPR) to address potential car cloning, including intelligence collection by the police to ...
    • Robust human silhouette extraction with Laplacian fitting 

      Al-Maadeed, S.; Almotaeryi, R.; Jiang, R.; Bouridane, A. ( Elsevier , 2014 , Article)
      Human silhouette extraction has been a primary step to estimate human poses or classify activities from videos. While the accuracy of human silhouettes has great impact on the follow-on human pose/gait estimation, it has ...
    • Round-Robin sequential forward selection algorithm for prostate cancer classification and diagnosis using multispectral imagery 

      Bouatmane S.; Roula M.A.; Bouridane A.; Al-Maadeed, Somaya ( Springer , 2011 , Article)
      This paper proposes an automatic classification system for the use in prostate cancer diagnosis. The system aims to detect and classify prostatic tissue textures captured from microscopic samples taken from needle biopsies. ...
    • Secure facial recognition in the encrypted domain using a local ternary pattern approach 

      Khan F.A.; Bouridane A.; Boussakta S.; Jiang R.; Almaadeed S. ( Elsevier Ltd , 2021 , Article)
      Automatic facial recognition is fast becoming a reliable method for identifying individuals. Due to its reliability and unobtrusive nature facial recognition has been widely deployed in law enforcement and civilian ...
    • Texture analysis for colorectal tumour biopsies using multispectral imagery 

      Peyret R.; Bouridane A.; Al-Maadeed, Somaya.; Kunhoth S.; Khelifi F. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      Colorectal cancer is one of the most common cancers in the world. As part of its diagnosis, a histological analysis is often run on biopsy samples. Multispecral imagery taken from cancer tissues can be useful to capture ...
    • The ICDAR2011 Arabic writer identification contest 

      Hassane A.; Al-Maadeed, Somaya; Alja'am J.M.; Jaoua A.; Bouridane A. ( IEEE , 2011 , Conference Paper)
      Arabic writer identification is a very active research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in ...
    • Time-frequency image descriptors-based features for EEG epileptic seizure activities detection and classification 

      Boubchir L.; Al-Maadeed, Somaya; Bouridane A.; Cherif A.A. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      This paper presents new class of time-frequency (T-F) features for automatic detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived ...
    • Undecimated wavelet-based Bayesian denoising in mixed Poisson-Gaussian noise with application on medical and biological images 

      Boubchir L.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      Due to photon and readout noise biomedical images are generally contaminated by a mixed Poisson-Gaussian noise. In this paper, we propose a Bayesian image denoising methodology for images corrupted by a mixed Poisson-Gaussian ...
    • Unsupervised feature selection method for improved human gait recognition 

      Rida I.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      Gait recognition is an emerging biometric technology which aims to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is ...
    • Video Quality Assessment Dataset for Smart Public Security Systems 

      Bezzine I.; Khan Z.A.; Beghdadi A.; Al-Maadeed N.; Kaaniche M.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Security and monitoring systems are more and more demanding in terms of quality, reliability and flexibility especially those dedicated to video surveillance. The quality of the acquired video signal strongly affects the ...
    • Visualization of faces from surveillance videos via face hallucination 

      Makhfoudi A.; Al-Maadeed, Somaya; Bouridane A.; Sexton G.; Jiang R. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      Face hallucination can be a useful tool for visualizing a low quality face into a visually better quality, making it an attractive technology for many applications. While faces in surveillance videos are usually at very ...